mirror of https://github.com/sthalles/SimCLR.git
Merge remote-tracking branch 'origin/master'
commit
b1e8f2c3d9
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@ -72,7 +72,7 @@ Feature evaluation is done using a linear model protocol.
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Features are learned using the ```STL10 train+unsupervised``` set and evaluated in the ```test``` set;
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Check the [](https://colab.research.google.com/github/sthalles/SimCLR/blob/9d071bb3dd93e921217c415cf0924aad2d0b13eb/feature_eval/linear_feature_eval.ipynb) notebook for reproducibility.
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Check the [](https://github.com/sthalles/SimCLR/blob/master/feature_eval/linear_feature_eval.ipynb) notebook for reproducibility.
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| Linear Classifier | Feature Extractor | Architecture | Feature dimensionality | Projection Head dimensionality | Epochs | STL10 Top 1 |
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@ -58,10 +58,11 @@
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"colab": {}
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},
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"source": [
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"folder_name = 'Mar13_22-46-30_thallessilva'\n",
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"folder_name = 'Mar14_05-52-52_thallessilva'\n",
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"\n",
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"!gdown https://drive.google.com/uc?id=12kKgvo4h41G9qnDdhDnZXFlR5_aqvaVR\n",
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"!unzip Mar13_22-46-30_thallessilva.zip\n",
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"# !gdown https://drive.google.com/uc?id=12kKgvo4h41G9qnDdhDnZXFlR5_aqvaVR # ResNet 18 --> 40 epochs trained\n",
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"!gdown https://drive.google.com/uc?id=1LjuZ1RmhotrnugprRQc2Exk0EbQHMJhL # ResNet 18 --> 80 epochs trained\n",
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"!unzip Mar14_05-52-52_thallessilva\n",
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"!ls"
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],
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"execution_count": 0,
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@ -406,7 +407,7 @@
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{
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"cell_type": "code",
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"metadata": {
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"id": "Ugf0L7rKLjRd",
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"id": "fXy_YX8_b7gL",
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"colab_type": "code",
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"colab": {}
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},
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